Senior Data Engineer

AdalFi; Karachi Division; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

AdalFi in Karachi is seeking a skilled Data Engineer to design, develop, and optimize data pipelines and ETL workflows. The ideal candidate will have strong expertise in SQL, PL/SQL, SSIS, Apache Spark, and Python.

Join AdalFi, where we are building Pakistan’s fastest-growing AI-powered digital lending infrastructure, transforming access to credit for millions. This role offers the opportunity to work with large-scale structured and unstructured data within a dynamic and innovative team.

Qualifications

• 4+ years of experience in Data Engineering field.
• Strong expertise in SQL, PL/SQL, and performance tuning.
• Hands-on experience with ETL tools (SSIS) and big data (Apache Spark).

Responsibilities

• Build and maintain ETL processes and data pipelines.
• Write and optimize complex queries for high performance.
• Collaborate with BI teams to deliver scalable data solutions.

Skills

SQL

PL/SQL

Stored Procedures

Database Query Optimization

SSIS

Apache Spark

Python

Education

Bachelor's degree in CS, IT, or related field

Tools

AWS

Azure

GCP

Job description

Role Overview

At Adal Fintech, we are seeking a skilled Data Engineer with strong expertise in SQL, PL/SQL, Stored Procedures, Database Query Optimization, SSIS, Apache Spark, and Python. The ideal candidate will design, develop, and optimize data pipelines and ETL workflows, ensuring efficient and scalable data solutions to support business intelligence and analytics initiatives.

About AdalFi

At AdalFi, we’re building Pakistan’s fastest-growing AI-powered digital lending infrastructure, enabling banks to launch innovative credit products in days instead of months. Our platform uses advanced AI and data analytics to help financial institutions make smarter, faster lending decisions transforming access to credit for millions.

What You’ll Do

• Build and maintain ETL processes and data pipelines (SQL, PL/SQL, SSIS, Apache Spark, Python).
• Write and optimize complex queries and stored procedures for high performance.
• Work with large-scale structured/unstructured data, ensuring quality, security, and compliance.
• Collaborate with BI teams and stakeholders to deliver reliable, scalable data solutions.
• Document technical designs and workflows for knowledge sharing.

What We’re Looking For

• 4+ years of experience in Data Engineering field.
• Strong expertise in SQL, PL/SQL, Stored Procedures, query optimization, and performance tuning.
• Hands‑on experience with ETL tools (SSIS), big data (Apache Spark), and Python.
• Solid understanding of data modeling, warehousing, and relational databases.
• Familiarity with Git, CI/CD, and collaborative problem‑solving.

Requirements

• Bachelor’s degree in CS, IT, or related field.
• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of data governance, security, and compliance.
• Exposure to NoSQL and real‑time data processing.